A Reconfigurable Continuous Time Recurrent Neural Network for Evolvable Hardware Applications

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	Similar Articles Articles by John C. Gallagher Articles by Sanjay K. Boddhu Articles by Saranyan Vigraham

2005 NASA/DoD Conference on Evolvable Hardware (EH'05)

Washington DC,

June 29-July 01

ISBN: 0-7695-2399-4

	ASCII Text	x
	John C. Gallagher, Sanjay K. Boddhu, Saranyan Vigraham, "A Reconfigurable Continuous Time Recurrent Neural Network for Evolvable Hardware Applications," Evolvable Hardware, NASA/DoD Conference on, pp. 247-250, 2005 NASA/DoD Conference on Evolvable Hardware (EH'05), 2005.

	BibTex	x
	@article{ 10.1109/EH.2005.5, author = {John C. Gallagher and Sanjay K. Boddhu and Saranyan Vigraham}, title = {A Reconfigurable Continuous Time Recurrent Neural Network for Evolvable Hardware Applications}, journal ={Evolvable Hardware, NASA/DoD Conference on}, volume = {0}, year = {2005}, issn = {1550-6029}, pages = {247-250}, doi = {http://doi.ieeecomputersociety.org/10.1109/EH.2005.5}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Evolvable Hardware, NASA/DoD Conference on TI - A Reconfigurable Continuous Time Recurrent Neural Network for Evolvable Hardware Applications SN - 1550-6029 SP247 EP250 A1 - John C. Gallagher, A1 - Sanjay K. Boddhu, A1 - Saranyan Vigraham, PY - 2005 KW - null VL - 0 JA - Evolvable Hardware, NASA/DoD Conference on ER -

John C. Gallagher, Wright State University

Sanjay K. Boddhu, Wright State University

Saranyan Vigraham, Wright State University

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/EH.2005.5

Evolvable Hardware is reconfigurable hardware plus an evolutionary algorithm. Continuous Time Recurrent Neural Networks (CTRNNs) have been proposed for use as the reconfigurable hardware component. Until recently, however, nearly all CTRNN based EH was simulation based. This poster details a design for a reconfigurable analog CTRNN computer that supports both extrinsic and intrinsic CTRNN evolvable hardware.

Citation:

John C. Gallagher, Sanjay K. Boddhu, Saranyan Vigraham, "A Reconfigurable Continuous Time Recurrent Neural Network for Evolvable Hardware Applications," eh, pp.247-250, 2005 NASA/DoD Conference on Evolvable Hardware (EH'05), 2005

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